Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1438
Title: A solution to overcome speech disorder of patients using Brain Neuron EEG Signals
Authors: Jayawickrama, J. A. D. T
Thelijjagoda, S
Keywords: solution
overcome speech
speech disorder
patients using
Brain Neuron
EEG Signals
Issue Date: 24-Sep-2020
Publisher: IEEE
Citation: J. A. D. T Jayawickrama and S. Thelijjagoda, "A solution to overcome speech disorder of patients using Brain Neuron EEG Signals," 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2020, pp. 182-187, doi: 10.1109/SCSE49731.2020.9312997.
Series/Report no.: 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE);Pages 182-187
Abstract: Speech disorders are neurodevelopmental disorders such as Stuttering, Dysarthria, Dysphonia and Aphasia associated with left inferior frontal structural anomalies that involve repeating or prolonging a word, syllable or phrase, or stopping during speech and making no sound for certain syllables. Most of the people who are suffering from speech disorders encounter difficulties in professional communication. Since people are busy with their day to day life, it is not practical to spend more time in consulting a doctor or do speech therapies for their medical issues. The speech therapist generally charges a significantly much higher rate for a single speech therapy practice, which the patient needs to practice at least twice or more for a week to get a better result. In an economy like Sri Lanka, people with average income cannot afford such an amount of money. Therefore, an innovative desktop application for speech disorder patients to overcome this problem has arisen. The main aim of this application is to reduce the speech imperative percentage of speech disorder patients via capturing the electroencephalogram feed of speech motor (Broca's area) using brain neuron O1, O2, C3, C4, F3, F4, F7, F8 electrodes and analyzing it to identify speech imperative issues. This system identifies the current impact on the left hemisphere of the brain (Broca's area) using EEG neurofeedback. Using speech voice analysis, the system provides the user to measure the articulation interference of the speech process. Self-Learning video tutorials are available for the clinical practices and treatments are available as prolong, relaxing, and humming exercises. Patients can track down the improvements daily or monthly by the rating system which makes the system unique among all other systems and the result can be directly sent to the desired consultant/neurophysiologist by the system itself. Patients can save time and the total cost of a therapy fee by using this system.
URI: http://rda.sliit.lk/handle/123456789/1438
ISSN: 2613-8662
Appears in Collections:Department of Information Management-Scopes
Faculty of Graduate Studies-Scopes
Research Papers
Research Papers - Dept of Information of Management
Research Papers - SLIIT Staff Publications

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